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Dynamic Bayesian Networks for Fault Prognosis
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023Ojas Pradhan +3 more
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Dynamic and Temporal Bayesian Networks
2015Dynamic Bayesian network models extend BNs to represent the temporal evolution of a certain process. There are two basic types of Bayesian network models for dynamic processes: state based and event based. Dynamic Bayesian networks are state-based models that represent the state of each variable at discrete time intervals.
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An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning
Reliability Engineering and System Safety, 2021Qing Yu, A P Teixeira, H Rong
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Learning effective brain connectivity with dynamic Bayesian networks
NeuroImage, 2007Jagath C Rajapakse, Juan Zhou
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A dynamic Bayesian networks modeling of human factors on offshore blowouts
Journal of Loss Prevention in the Process Industries, 2013Baoping Cai +2 more
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Supply chain diagnostics with dynamic Bayesian networks
Computers and Industrial Engineering, 2005Chia-Hui Huang, Han-Lin Li
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